An optimization approach for process engineering problems under uncertainty Academic Article uri icon


  • The problem of selecting an optimal design/plan for process models involving stochastic parameters is addressed in this paper. A classification of uncertainty is introduced depending on its sources and mathematical model structure. A combined multiperiod/stochastic optimization formulation is then proposed along with a decomposition-based algorithmic procedure for its solution. The appr oach is illustrated with a process synthesis/planning example problem. Copyright 1996 Elsevier Science Ltd. All rights reserved.

published proceedings


author list (cited authors)

  • Ierapetritou, M. G., Acevedo, J., & Pistikopoulos, E. N.

citation count

  • 69

complete list of authors

  • Ierapetritou, MG||Acevedo, J||Pistikopoulos, EN

publication date

  • June 1996